دورية أكاديمية
A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High-Quality Data: Development and Usability Study
| العنوان: | A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High-Quality Data: Development and Usability Study |
|---|---|
| المؤلفون: | Victoria Leong, Kausar Raheel, Jia Yi Sim, Kriti Kacker, Vasilis M Karlaftis, Chrysoula Vassiliu, Kastoori Kalaivanan, S H Annabel Chen, Trevor W Robbins, Barbara J Sahakian, Zoe Kourtzi |
| المصدر: | Journal of Medical Internet Research, Vol 24, Iss 1, p e28368 (2022) |
| بيانات النشر: | JMIR Publications, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Public aspects of medicine |
| مصطلحات موضوعية: | Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270 |
| الوصف: | BackgroundThe global COVID-19 pandemic has triggered a fundamental reexamination of how human psychological research can be conducted safely and robustly in a new era of digital working and physical distancing. Online web-based testing has risen to the forefront as a promising solution for the rapid mass collection of cognitive data without requiring human contact. However, a long-standing debate exists over the data quality and validity of web-based studies. This study examines the opportunities and challenges afforded by the societal shift toward web-based testing and highlights an urgent need to establish a standard data quality assurance framework for online studies. ObjectiveThis study aims to develop and validate a new supervised online testing methodology, remote guided testing (RGT). MethodsA total of 85 healthy young adults were tested on 10 cognitive tasks assessing executive functioning (flexibility, memory, and inhibition) and learning. Tasks were administered either face-to-face in the laboratory (n=41) or online using remote guided testing (n=44) and delivered using identical web-based platforms (Cambridge Neuropsychological Test Automated Battery, Inquisit, and i-ABC). Data quality was assessed using detailed trial-level measures (missed trials, outlying and excluded responses, and response times) and overall task performance measures. ResultsThe results indicated that, across all data quality and performance measures, RGT data was statistically-equivalent to in-person data collected in the lab (P>.40 for all comparisons). Moreover, RGT participants out-performed the lab group on measured verbal intelligence (P |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1438-8871 |
| Relation: | https://www.jmir.org/2022/1/e28368; https://doaj.org/toc/1438-8871 |
| DOI: | 10.2196/28368 |
| URL الوصول: | https://doaj.org/article/a56d75f658374b16850f3db0cc3f9733 |
| رقم الأكسشن: | edsdoj.56d75f658374b16850f3db0cc3f9733 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 14388871 |
|---|---|
| DOI: | 10.2196/28368 |